We consider a sketch to be a collection of strokes, wherein each stroke consists of 2-D continuous offsets and 3-D discrete pen-states. This representation is also known as the stroke-based format. The discrete outputs pose a difficulty for the gradient updates to be passed from discriminator to generator for the weight update. [1]} proposed a novel policy gradient based loss for generating 1-D discrete tokens. Whereas in our case, we have a combination of 2-D continuous variates and 3-D discrete variates which makes adapting of policy gradient loss not a straight-forward task. Currently there are no metrics that quantify the `goodness' of vector sketches. Hence, we have proposed the `Ske-score' which quantifies the goodness of vector sketches. Our contributions are as follows:
